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Head of AI @ Sagard
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Ottawa
Doctor of Philosophy (PhD), Artificial Intelligence, Natural Language Processing
January 1, 2012 – June 1, 2017
Sharif University of Technology
Master's degree, Computer Science
January 1, 2009 – January 1, 2011
University of Isfahan
Bachelor's degree, Computer Software Engineering
January 1, 2005 – January 1, 2009
Sagard
Managing Director/ Head of AI
September 1, 2024 – Present
Toronto, Ontario, Canada
Georgian
Head of Artificial Intelligence
January 1, 2023 – August 1, 2024
Georgian
Head of Applied Research
September 1, 2020 – June 1, 2023
Georgian
Director- Machine Learning
May 1, 2018 – September 1, 2020
Schulich School of Business - York University
Advisory Board Member, Master of Business Analytics and AI
May 1, 2017 – September 1, 2020
Georgian
Applied Research Scientist
March 1, 2017 – May 1, 2018
Department of Computer Science, University of Copenhagen - DIKU
Visiting Research Scholar
November 1, 2016 – January 1, 2017
Copenhagen Area, Denmark
Microsoft Research
Research Intern
May 1, 2016 – August 1, 2016
National Research Council Canada
Machine (Deep) Learning Intern
January 1, 2015 – December 1, 2015
University of Ottawa
Graduate Research Assistant, Deep Learning, Natural Language Processing and Machine Learning
November 1, 2012 – May 1, 2017
Sharif University of Technology
Graduate Machine Learning Research Assistance
September 1, 2009 – September 1, 2011
University of Isfahan
Intern
May 1, 2009 – September 1, 2009
"Solving Stochastic Path Problem: Particle Swarm Optimization Approach"
December 1, 2010 – Present
Evolutionary algorithms term project
Cultural Fit Analysis
The candidate's extensive experience in AI/ML leadership and research, particularly within venture capital and asset management firms (Georgian, Sagard), indicates a strong fit for roles requiring innovation, strategic thinking, and the ability to drive technological adoption. However, the target role of 'Data Analyst' is a significant mismatch with their senior-level AI/ML leadership and research background. Their project diversity is limited to academic/research, and the breadth of skills listed is primarily focused on advanced AI/ML, which may not align with typical data analyst responsibilities.
Soft Skills & Operational Fit
The candidate's experience in leading AI teams, advising portfolio companies, and strategic roadmap planning suggests strong leadership, problem-solving, and communication skills. Their advisory board role also indicates a collaborative and influential operational fit.